On complete convergence for weighted sums of m -widely acceptable random variables under sub-linear expectations and its statistical applications

HIGHLIGHTS

• What: As applications the authors investigate the complete consistency and strong consistency of weighted estimators in nonparametric regression models under sub-linear expectations. The authors provide some simulation studies to verify the finite sample performance of the theoretical results. The authors aim to investigate the complete convergence and strong law of large numbers for weighted sums of identically distributed m-widely acceptable random variables.
• Who: Mathematical Subject Classification and collaborators from the a School of Mathematics and Finance, Chuzhou University, Chuzhou, PRChina have published the Article: On complete convergence for weighted sums of m -widely . . .
  

   

  

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